被动雷达/红外成像双模制导数据融合方案  

Data Fusion Scheme Design of Passive Radar-infrared Imaging Dual-mode Homing Guidance System

作　　者：杨俊鹏[1] 祝小平[1] 袁智荣[1] 

机构地区：[1]西北工业大学,西安710072

出　　处：《火力与指挥控制》2010年第2期102-105,共4页Fire Control & Command Control

摘　　要：提出了被动雷达/红外成像双模制导数据融合方案。针对雷达和红外成像测量数据率不同的特性,研究了被动雷达/红外成像测量输出时间同步校准算法;根据雷达和红外成像测量输出的目标冗余信息对各自测量噪声方差进行在线实时估计,提出了一种具有自适应修正能力的卡尔曼滤波算法;采用神经网络—模糊推理方法设计了具有自主判别能力的测量信息有效性判别系统,提出了基于测量信息置信度的加权融合算法。通过仿真验证了该方案的有效性。A data fusion scheme in passive radar-infrared imaging dual-mode homing guidance system is put forward. The algorithm to get the optimum compress of measure data is studied to solve the asynchronous problem. An adaptive modified kalman filter is designed. The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix to fit the actual statistics of the noise profiles present in the incoming measured data. A information differentiator to assign confidence degree to each sensor＇s filter outputs is designed applying ~eural network-fuzzy reasoning system. The data fusion algorithm based on confidence degree of measure information is presented. The validity and accuracy of the proposed approach is demonstrated in a simulated example.

关 键 词：双模制导 数据融合 制导信息 

分 类 号：TJ765.3[兵器科学与技术—武器系统与运用工程]